Module 1: Get Started with Microsoft Data Analytics
This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.
After completing this module, students will be able to: 1) Explore the different roles in data 2) Identify the tasks that are performed by a data analyst 3) Describe the Power BI landscape of products and services 4) Use the Power BI service
Data Analytics and Microsoft
Getting Started with Power BI
Module 2: Prepare Data in Power BI
This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage and understand the difference and performance implications of connecting directly to data vs. importing it. After completing this module, students will be able to - 1) Identify and retrieve data from different data sources 2) Understand the connection methods and their performance implications 3) Use Microsoft Dataverse 4) Connect to a data flow.
Data Analytics and Microsoft
Resolve Data Errors
Module 3: Clean, Transform, and Load Data in Power BI
This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.
After completing this module, students will be able to - 1) Apply data shape transformations 2) Enhance the structure of the data 3) Profile and examine the data.
Shaping the Data
Profiling the Data
Enhance the data structure
Module 4: Design a Data Model in Power BI
This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.
After completing this module, students will be able to 1) Understand the basics of data modeling 2) Define relationships and their cardinality 3) Implement Dimensions and Hierarchies.
Introduction to data modeling
Working with tables
Dimensions and Hierarchies
Module 5: Create Model Calculations using DAX in Power BI
This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems. After completing this module, students will be able to - 1) Understand DAX 2) Use DAX for simple formulas and expressions 3) Create calculated tables and measures 4) Build simple measures 5) Work with Time Intelligence and Key Performance Indicators.
Introduction to DAX
Module 6: Optimize Model Performance in Power BI
In this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance. After completing this module, students will be able to - 1) Understand the importance of variables 2) Enhance the data model 3) Optimize the storage model.
Optimize the data model for performance
Optimize DirectQuery Models
Module 7: Create Reports in Power BI
This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered. After completing this module, students will be able to: 1) Design a report page layout 2) Select and add effective visualizations 3) Add basic report functionality 4) Add report navigation and interactions.
Design a report
Enhance the report
Module 8: Create Dashboards in Power BI
In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights. After completing this module, students will be able to: 1) Create a Dashboard 2) Understand real-time Dashboards 3) Enhance Dashboard usability.
Create a Dashboard
Enhance a Dashboard
Module 9: Identify Patterns and Trends in Power BI
This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights. After completing this module, students will be able to: 1) Use the Analyze feature 2) Identify outliers in data 3) Use the AI visuals 4) Use the Advanced Analytics custom visual.
Data Insights through AI visuals
Module 10: Create and Manage Workspaces in Power BI
This module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App. After completing this module, students will be able to: 1) Create and manage a workspace 2) Understand workspace collaboration 3) Monitor workspace usage and performance 4) Distribute an App.
Sharing and Managing Assets
Module 11: Manage Files and Datasets in Power BI
This module will introduce you to parameters and datasets. You will also learn how to manage datasets and parameters, build dynamic reports with parameters, and set dataset refresh options. After completing this module, students will be able to: 1) Manage datasets and parameters 2) Build dynamic reports with parameters 3) Schedule dataset refresh 4) Troubleshoot gateway service connectivity.
Module 12: Row-level Security in Power BI
This module will introduce you to row-level security, both static and dynamic methods, and how to implement. After completing this module, students will be able to implement row-level security using both the Static and Dynamic methods.
Lab : Preparing Data in Power BI Desktop
Lab : Loading Data in Power BI Desktop
Lab : Data Modeling in Power BI Desktop
Create Model Relationships
Configure Tables and column properties
Lab : Introduction to DAX in Power BI Desktop
Create calculated tables
Create calculated columns
Lab : Advanced DAX in Power BI Desktop
Use the CALCULATE() function to manipulate filter context
Use Time Intelligence functions
Lab : Enhancing reports with interaction and formatting in Power BI Desktop
Create and configure Sync Slicers
Create a drillthrough page
Apply conditional formatting
Create and use Bookmarks
Lab : Designing a report in Power BI Desktop
Design a report
Configure visual fields and format properties
Lab : Creating a Dashboard in Power BI Service
Create a Dashboard
Pin visuals to a Dashboard
Use Q&A to create a dashboard tile
Lab : Data Analysis in Power BI Desktop
Create animated scatter charts
Use the visual to forecast values
Lab : Enforce Row-Level Security
Configure many-to-many relationships
Enforce row-level security